Now a day technology is increasing very rapidly, which can be used for good as well as for bad purposes. Ecommerce is part of all most every system where online transitions are performed through internet through which frauds can be easily done. Credit card system is most vulnerable for frauds. Hence it is very much essential to have fraud detecting system. Till date various approaches have been...

We survey known security vulnerabilities in Massively Multiplayer Online Games (MMOGs), and describe how these are used to cheat. While such abuse often is aimed at gaining an edge in the game, there is a recent trend of financial fraud in MMOGs. We review common types of online fraud (such as phishing and click-fraud) that we believe increasingly will migrate into the MMOG sphere. We refer to ...

One of the issues facing credit card fraud detection systems is that a significant percentage of transactions labeled as fraudulent are in fact legitimate. These "false alarms" delay the detection of fraudulent transactions and can cause unnecessary concerns for customers. In this study, over 1 million unique credit card transactions from 11 months of data from a large Canadian bank w...

Abstract Massive usage of credit cards has caused an escalation fraud. Usage resulted in the growth online business advancement and ease e-payment system. The use machine learning (methods) are adapted on a larger scale to detect prevent ML algorithms play essential role analysing customer data. In this research article, we have conducted comparative analysis literature review considering techn...

With the development of e-commerce, credit card fraud is also increasing. At same time, way constantly innovating. Support Vector Machine, Logical Regression, Random Forest, Naive Bayes and other algorithms are often used in identification. However, current detection technology not accurate, may cause significant economic losses to cardholders banks. This paper will introduce an innovative meth...